Error Recovery

About Error Recovery

Comprehensive error handling methodology with 13-category taxonomy, diagnostic workflows, recovery patterns, and prevention guidelines. Use when error rate >5%, MTTD/MTTR too high, errors recurring, need systematic error prevention, or building error handling infrastructure. Provides error taxonomy (file operations, API calls, data validation, resource management, concurrency, configuration, dependency, network, parsing, state management, authentication, timeout, edge cases - 95.4% coverage), 8 diagnostic workflows, 5 recovery patterns, 8 prevention guidelines, 3 automation tools (file path validation, read-before-write check, file size validation - 23.7% error prevention). Validated with 1,336 historical errors, 85-90% transferability across languages/platforms, 0.79 confidence retrospective validation.

综合错误处理方法论，包含 13 类分类法、诊断工作流、恢复模式和预防指南。适用于错误率 >5%、MTTD/MTTR 过高、错误反复发生、需要系统化错误预防或构建错误处理基础设施的场景。提供错误分类（文件操作、API 调用、数据校验、资源管理、并发、配置、依赖项、网络、解析、状态管理、认证、超时、边缘情况 —— 覆盖率 95.4%）、8 条诊断工作流、5 种恢复模式、8 条预防指南、3 个自动化工具（文件路径校验、先读后写检查、文件大小校验——估计可预防 23.7% 的错误）。基于 1,336 个历史错误验证，跨语言/平台可迁移性 85–90%，回顾性置信度 0.79。